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From Xinyu Liu <xinyuliu...@gmail.com>
Subject Re: Review Request 53282: SAMZA-1043: Samza performance improvements
Date Wed, 09 Nov 2016 02:21:50 GMT


> On Nov. 2, 2016, 7:01 p.m., Chris Pettitt wrote:
> > samza-core/src/main/java/org/apache/samza/util/TimerClock.java, line 25
> > <https://reviews.apache.org/r/53282/diff/1/?file=1548709#file1548709line25>
> >
> >     We have a HighResolutionClock that does this. I think you can use it here.
> 
> Xinyu Liu wrote:
>     I was thinking about using it at first. But the HighResolutionClock has two functions,
nanoTime() and sleep(). The second method does not fit here for my usage. The other benefit
of using a single method interface here is that I can do lambda function, which makes code
nicer to read :).
>     
>     Or I can remove the nanoTime() interface from HighResolutionClock and let HighResolutionClock
extends from TimerClock. Does this sound better to you?
> 
> Chris Pettitt wrote:
>     I would probably pull sleep off of HighResolutionClock. It looks like it may only
be used in one place now which means it could just be inlined. Otherwise it could be added
to a util class.

Good suggestion. I inline the sleep inside the ThrottlingExcutor and now we only have a single
HighResolutionClock class.


- Xinyu


-----------------------------------------------------------
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/53282/#review154611
-----------------------------------------------------------


On Nov. 9, 2016, 2:14 a.m., Xinyu Liu wrote:
> 
> -----------------------------------------------------------
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/53282/
> -----------------------------------------------------------
> 
> (Updated Nov. 9, 2016, 2:14 a.m.)
> 
> 
> Review request for samza, Chris Pettitt, Jake Maes, and Navina Ramesh.
> 
> 
> Repository: samza
> 
> 
> Description
> -------
> 
> In the recent experiments of samza batch job (consuming hdfs data on hadoop), the results
are subpar to map/reduce and spark. By looking at the metrics closely, we found two basic
problems:
> 
> 1) Not enough data to process. This is spotted as the unprocessed message queue length
was zero for quite a lot of times.
> 
> 2) Not process fast enough. We found samza performed closely in both median size records
(100B) and small record (10B), while spark can scale very well in the small record (over 1M/s).
> 
> The first problem is solved by increasing the buffer size. This ticket is to address
the second problem, which contains three major improvements:
> 
> - Option to turn off timer metrics calculation: one of the main time spent in samza processing
turns out to be just keeping the timer metrics. While it is useful in debugging, it becomes
a bottleneck when running a stable job with high performance. In my testing job which consumes
8M mock data, it took 30 secs with timer metrics on. After turning it off, it only took 14
secs.
> 
> - Java coding improvements: The AsyncRunLoop code can be further optimized for efficiency.
Some of the thread-safe data structure I am using is not for optimal performance (Collections.synchronizedSet).
I switched to use CopyOnWriteArraySet, which has far better performance due to more reads
and small set size.
> 
> - Specific handling for in-order processing improvements: AsyncRunLoop handles the callbacks
regardless of whether it's in-order or out-of-order (max concurrency > 1), which incurs
quite some cost. By simplying the logic for in-order handling, the performance gains.
> 
> After all three improvements, my test job with mock input (8M messages) can be processed
within 8 sec (down from org 30 secs), so it's 1M/s for one cpu core.
> 
> For the performance benchmark jobs running in Hadoop, we also see a 4 times improvement
with all the fixes above. Please take a look at the attached spreedsheet (see the numbers
with fix(turn off the timing metrics) and fix2(all three together).
> 
> 
> Diffs
> -----
> 
>   samza-core/src/main/java/org/apache/samza/container/RunLoopFactory.java 609a956a1f2fa97419c2f66fe2fb6876aaaeecd0

>   samza-core/src/main/java/org/apache/samza/task/AsyncRunLoop.java 8fac8155c7f64e67d4a39ec6943f98da1e1d63d9

>   samza-core/src/main/java/org/apache/samza/task/CoordinatorRequests.java 052b3b91ec609ca6288662cfa2d3e71b0273d020

>   samza-core/src/main/java/org/apache/samza/task/TaskCallbackImpl.java 9b700998d2af040c6734289f7f28bbd78c36bd2c

>   samza-core/src/main/java/org/apache/samza/task/TaskCallbackManager.java 132cf59eb593524a4cac134aeceeeb37a4c74b1f

>   samza-core/src/main/java/org/apache/samza/util/HighResolutionClock.java 69ba441ed087305dfe4e1272b00fad67b644e13f

>   samza-core/src/main/java/org/apache/samza/util/SystemHighResolutionClock.java 2e65b603bc959273e679eba3ea9f89c7c0c4664d

>   samza-core/src/main/java/org/apache/samza/util/ThrottlingExecutor.java d1298fc40680e5ad4db7067c9ef02f0266dffc1d

>   samza-core/src/main/java/org/apache/samza/util/TimerClock.java PRE-CREATION 
>   samza-core/src/main/java/org/apache/samza/util/Utils.java 472e0a59d5aa992b136292c8a3347c311e2cd606

>   samza-core/src/main/scala/org/apache/samza/config/MetricsConfig.scala c3fd8bfb2e16a4c5146d34682d04cb1d4e9bbe72

>   samza-core/src/main/scala/org/apache/samza/container/SamzaContainer.scala e0468ee89c89fd720834461771ebb36475475bcb

>   samza-core/src/main/scala/org/apache/samza/system/SystemConsumers.scala e2aed5b1c2e77a914268963b21809380972037b6

>   samza-core/src/main/scala/org/apache/samza/util/Util.scala c4836f202f7eda1d4e71eac94fd48e46207b0316

>   samza-core/src/test/java/org/apache/samza/task/TestAsyncRunLoop.java 6000ffaf2b8723d48a72e58b571f242a42dc8128

>   samza-core/src/test/java/org/apache/samza/task/TestAsyncStreamAdapter.java 99e1e18bcfa6bca1e275d8ae030a77ff8d70a4eb

>   samza-core/src/test/java/org/apache/samza/task/TestTaskCallbackImpl.java f1dbf35165e6ddfc02e3522887c25d78a4bbfcd7

>   samza-core/src/test/java/org/apache/samza/task/TestTaskCallbackManager.java d7110f34a9eae6e9ffc15b4982bfbb180da88b2d

>   samza-core/src/test/java/org/apache/samza/util/TestThrottlingExecutor.java 0276e6b17bc9ad9413611189b2e9ff2b8793694c

>   samza-kv/src/main/scala/org/apache/samza/storage/kv/BaseKeyValueStorageEngineFactory.scala
c975893a42689732c39c39600fecacee843bf9d6 
> 
> Diff: https://reviews.apache.org/r/53282/diff/
> 
> 
> Testing
> -------
> 
> ./gradlew build
> 
> Tested in the yarn hadoop cluster with different kinds of jobs.
> 
> 
> File Attachments
> ----------------
> 
> hdfs performance
>   https://reviews.apache.org/media/uploaded/files/2016/11/02/c05007fe-2fdd-4c8c-b5ef-b7862dea13b2__hdfs_perf.png
> 
> 
> Thanks,
> 
> Xinyu Liu
> 
>


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